陈鹏飞:中山大学数据科学与计算机学院副教授-中文百科频道

人物经历

教育背景

2009.9-2016.6，西安交通大学计算机科学与技术系，博士

2005.9-2009.6，西安交通大学计算机科学与技术系，本科

工作经历

2018.1至今，中山大学数据科学与计算机学院，“百人计划”副教授，博士生导师

2016.6-2018.1，IBM中国研究院，研究员

海外经历

2017.2-2017.4，IBM T.J. Watson研究中心，访问研究员

主要成就

科研成就

1.期刊论文：

Pengfei Chen, Yong Qi, Xinyi Li, Di Hou Michael Lyu, ARF-Predictor: Effective Prediction of Aging-Related Failure Using Entropy[J]. IEEE Transactions on Dependable and Secure Computing (IEEE TDSC, CCF A, 中科院二区，SCI Index), pp:1-19, 2016 (published online, DOI: 10.1109/TDSC.2016.2604381).

Pengfei Chen, Yong Qi, Di Hou, CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environement[J]. IEEE Transactions on Service Computing (IEEE TSC, CCF B, 中科院一区，SCI index), pp:1-17, 2016 (published online, DOI: 10.1109/TSC.2016.2607739)

Pengfei Chen, Yong Qi, Di Hou，InvarNet-X: A Black-box Invariant-based Approach to Diagnosing Big Data Systems[J]. IEEE Transactions on Emerging Topics in Computing (TETC), 5(4)，pp:450-465, 2017, DOI: 10.1109/TETC.2015.2497143.

Pengfei Zheng, Yong Qi, Yangfan Zhou,Pengfei Chen, Jianfeng Zhan, Michael Rung-Tsong Lyu，An Automatic Publications Framework for Detecting and Characterizing Performance Degradation and Characterizing Performance Degradation of Software Systems, IEEE Transactions on Reliability(IEEE TR, SCI Index), 2014, 63(4): 927-943.

Xinyi Li, Yong Qi,Pengfei Chen, et al. A cost-effective strategy for Cloud system maintenance[J]. Computers & Electronics Engineering (CCF B, SCI Index), vol. 58, pp:176-189, 2016.

陈鹏飞，李昕怡，齐勇*，张小辉，单步启发式策略的备份虚拟机复用策略[J]. 西安交通大学学报，2016, 50(1):100-107, EI 索引，DOI: 10.7652/xjtuxb201601016.

2.会议论文

Bin Yan (student),Pengfei Chen*，et,al.,Nebula: A Blockchain based Decentralized Sharing Computing Platform, IEEE BlockSys 2019, to appear.

Guangba Yu (student),Pengfei Chen*, Zibin Zheng,Microscaler: Automatic Scaling for Microservices with an Online Learning Approach, IEEE ICWS 2019 (CCF B类会议).

Weiming Liao (student),Pengfei Chen*,Characterization and Prediction of Deep Learning Workload on GPUs, HPC China 2019, Best Paper Candidate (最佳论文候选者).

Jinjin Lin (student),Pengfei Chen*, Zibin Zheng, Microscope: Pinpoint the Abnormal Services with Causal Graphs in Micro-service Environments， IEEE ICSOC 2018 (CCF B类论文).

Pengfei Chen, Yong Qi, Pengfei Zheng, Di Hou,CauseInfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems[C]. Proceedings of the 33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14) (CCF A), April 27th，May 2nd, 2014, Toronto, Canada, 2014:1887- 1895. (EI: 20143017978534).

Pengfei Chen, Yong Qi*, Xinyi Li, Li Su, An ensemble MIC-based approach for performance diagnosis in big data platform[C]. Proceedings of the IEEE International Conference on Big Data (IEEE BigData), October 6-9, Santa Clara, USA, 2013:78-85. (EI: 20140717300259).

Tong Jia,Pengfei Chen*, Lin Yang Ying Li,Fanjing Meng,Jingmin Xu. An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services[C] IEEE International Conference on Web Services(IEEE ICWS CCF B). IEEE, 2017:25-32, Hawaii, USA.

Tong Jia, Lin Yang*,Pengfei Chen, Ying Li, Fanjing Meng, Jingmin Xu. LogSed: Anomaly Diagnosis through Mining Time-Weighted Control Flow Graph in Logs[C]. IEEE, International Conference on Cloud Computing. (IEEE Cloud), 2017:447-455, Hawaii, USA.

Hong Kou andPengfei Chen*, An Ensemble Signature-based Approach for Performance Diagnosis in Big Data Platform[C]. Proceedings of the International Symposium on Service-Oriented System Engineering (IEEE SOSE 2018), March 26 - 29, 2018. Bamberg, Germany, to appear（全文录用）.

Ping Wang, Jingmin Xu, Meng Ma,Pengfei Chenand Yuan Wang, et al. CloudRanger: Root Cause Identification for Cloud Native Systems[C]. Proceedings oftheInternational Symposium on Cluster, Cloud and Grid Computing(CCGRID 2018), May 1-4, 2018, to appear, Washington DC, USA. (核心贡献作者)